Acquisition of Chess Knowledge in AlphaZero

Researchers at DeepMind and Google Brain, in collaboration with Grandmaster Vladimir Kramnik, are working to explore what chess can teach us about AI and vice versa. Using Chessbase’s extensive historical chess data along with the AlphaZero neural network chess engine and components from Stockfish 8, they ask: what can we learn about chess history by studying AlphaZero, how does AlphaZero learn to evaluate positions, and is AlphaZero computing anything human-like? Their paper, “Acquisition of Chess Knowledge in AlphaZero”, has just been published.

Been Kim

Acquisition of Chess Knowledge in AlphaZero – arXiv Vanity

Checkmate: how we mastered the AlphaZero cover, Science

PDF] Acquisition of chess knowledge in AlphaZero

Game Of Chess: Models, code, and papers - CatalyzeX

Nenad Tomašev - CatalyzeX

Chess - History - LessWrong

Acquisition of chess knowledge in AlphaZero

Acquisition of Chess Knowledge in AlphaZero – arXiv Vanity

Demis Hassabis interview: the brains behind DeepMind on the future of artificial intelligence

Human opening preferences vs. AlphaZero opening preferences : r/chess

DeepMind's New AI Teaches Itself Chess, Beats Grandmaster

Acquisition of Chess Knowledge in AlphaZero

DeepMind, Google Brain & World Chess Champion Explore How AlphaZero Learns Chess Knowledge

arxiv-sanity